Ship a Prototype Inside Your PRD — Live in 60 Minutes
Join Teja Bandaru (Product Leader · PayPal) for a free live session.
Teja Bandaru
Product Leader · PayPal
⭐ 4.75 / 5
Your PRD has a problem section and a solution section. It needs a prototype section.
The best PMs today don't just write specs — they ship a working prototype alongside them. They use generative AI to pressure-test product sense, vibe code a clickable proof-of-concept before engineering picks it up, and run responsible AI checklists the same way they run acceptance criteria. This 5-week course rebuilds your PM workflow from the ground up: sharper product sense, richer PRDs, faster prototypes, and ship decisions you can actually defend.
What You'll Learn
AI-Augmented Product Sense
Use generative AI to generate competing framings of a user problem, surface edge cases you'd miss, and stress-test your product intuition before writing a word of spec — so your reasoning is sharper, not outsourced.
Vibe Coding Prototype
Build a clickable working prototype using Claude Code, v0, or Cursor in under 2 hours — embedded in your PRD as a first-class artifact that replaces 3 pages of interaction spec engineers can't act on.
AI-Native PRD
Restructure your PRD format to include a prototype artifact, edge case coverage map, responsible AI section, and model-specific acceptance criteria — fields that reflect how AI products actually get built and reviewed.
Responsible AI Evaluation
Produce a responsible AI review for a real AI feature: bias surface map, failure mode log by user segment, mitigation plan with owners, and a documented go/no-go recommendation your legal team can act on.
Who Is This For?
This course is designed for:
Mid-to-Senior PMs Who Write PRDs
Who own ship decisions and want their workflow to reflect what AI-native product development actually looks like — prototype artifacts, responsible AI sections, and model-specific acceptance criteria as standard fields.
PMs on AI-Native Teams
Who are shipping LLM features and are expected to understand evals, model behavior, and responsible AI — but haven't had a structured framework for running a real AI product review.
PMs Moving into AI Product Roles
Who need to demonstrate technical product depth in interviews and on the job — prototyping ability, eval fluency, and responsible AI judgment as evidence of AI-native PM capability.
Course Outline
5 weeks · 3 sessions per week
Projects You'll Ship
Leave with real work to show, not just a certificate.
AI-Native PRD
A fully restructured PRD for a real feature: three competing problem framings, a working prototype linked as a first-class artifact, an edge case coverage map, and a responsible AI section with specific mitigations and owners. The format you'll use for every PRD going forward — and a portfolio piece that shows AI-native product depth.
Responsible AI Evaluation Document
A complete responsible AI review for a real AI feature: bias surface map, failure mode log by user segment, mitigation plan with owners, and a documented go/no-go recommendation. The artifact that makes ship decisions defensible — to your team, legal, and your users. Reusable as a standard gate for every AI feature your org ships.
AI-Native PM Workflow Playbook
Your personal repeatable workflow — from user problem to prototype to PRD to ship decision — documented as a playbook you can hand to any PM on your team. Presented live to the cohort with critique on problem framing, prototype quality, responsible AI coverage, and decision rigor.
Your Instructors
Teja Bandaru
Product Leader · PayPal
⭐ 4.75 / 5
Teja leads Global Consumer Service Experience at PayPal. Previously at Amazon, he led merchant support for Buy with Prime and drove GenAI adoption initiatives across Customer Support, Marketing, and Sales. He brings hands-on experience shipping AI products at scale — and teaches PMs how to move from traditional product thinking to building with AI.
What Students Say
⭐⭐⭐⭐⭐
"The prototype-in-the-PRD format changed how my team works. Engineering now asks for it before they'll start scoping. The vibe coding week alone was worth the entire sprint."
Alex Kim
Senior PM · Notion
⭐⭐⭐⭐⭐
"I ran my first responsible AI review in Week 4 on a feature we were about to ship. It surfaced a bias exposure we'd completely missed. We caught it before launch — not after."
Morgan Lee
Product Lead · Stripe
⭐⭐⭐⭐⭐
"The AI-native PRD format is now our team standard. My manager asked where it came from. I told her — and she enrolled three other PMs the next week."
Jamie Torres
Staff PM · Databricks
Course Schedule
All sessions are instructor-led and live. Recordings available within 24 hours.
SUNDAY
9:00 AM PDT
Live BuildBuild alongside the instructor. Every session ends with a working artifact — a prototype, a PRD section, or a responsible AI review — produced in the room.
WEDNESDAY
6:00 PM PDT
Clinic SessionStructured critique, case studies, and lab exercises. Bring your real PRDs, your real features, your real edge cases.
THURSDAY
6:00 PM PDT
Build & ShipFinish and test your weekly deliverable with peer review and instructor feedback before you submit.
Frequently Asked Questions
Related reading
The JD-backed research behind this course — from Dexity Intel.
How to Become an AI Product Manager in 2026 →How far do you want to go?
Start free to experience our offering, choose the program length you would want to commit to.
You build. Nobody demos at you.
Every session is follow-along — you build the thing yourself while a practitioner works beside you. That is why the hours look long: they are yours to build in, with an expert on hand to guide you. None of it is a traditional lecture.
In the session, you'll: